code: def test_calculate_all_ctc_probs(module, mtlalpha):
      m = importlib.import_module(module)
      args = make_arg(mtlalpha=mtlalpha, asr_weight=0.3)
      if "pytorch" in module:
          batch = prepare_inputs("pytorch")
      else:
          batch = prepare_inputs("chainer")
      model = m.E2E(40, 5, args)
      with chainer.no_backprop_mode():
          if "pytorch" in module:
              ctc_probs = model.calculate_all_ctc_probs(*batch)
              if mtlalpha > 0:
                  print(ctc_probs.shape)
              else:
                  assert ctc_probs is None
          else:
              raise NotImplementedError
  
imports: from __future__ import division
  import argparse
  import importlib
  import os
  import tempfile
  from test.utils_test import make_dummy_json_st
  import chainer
  import numpy
  import pytest
  import torch
  from espnet.nets.pytorch_backend.nets_utils import pad_list
  from espnet.utils.training.batchfy import make_batchset
label_desc: Use image node_id 14 for calling a global function with example usage: test_calculate_all_ctc_probs(module, mtlalpha) without return types